MCTP: Sophomore Transitions: Bridges into a Statistics Major and Big Data Research Experiences via Learning Communities
MCTP: Sophomore Transitions: Bridges into a Statistics Major and Big Data Research Experiences via Learning Communities
批准号:
1246818
负责人:
Mark Ward
金额:
$150.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2020-08-31
中文摘要
普渡大学的统计学生活学习社区(STAT-LLC)项目解决了统计学本科生培训中的两个转变:(1)(2)从大一通识课程到大二统计学专业课程的衔接。这是学生在数据分析,特别是大数据方面的第一次研究经验的桥梁。在五年的时间里,每年有20名大二学员将参加STAT-LLC,其中包括一个新的基于项目的大数据分析课程,新的指导研究合作和重点,一个新的系列研讨会,专业发展计划,以及在一个新的学习社区中共同生活。项目负责人将安排3门核心课程(概率论、统计理论和数据分析)和系列研讨会,学生将作为一个群体一起学习这些课程(并且仍然有足够的时间进行个人选修课),住在一个宿舍,并参加为期12个月的研究体验(从大二开始到大三开始)。高级人员由普渡大学统计学系的12名教员组成。其他教师导师将来自精算科学、大气/地球科学、生物学、生物医学工程、化学工程、电气与计算机工程、健康与人文科学以及医疗保健工程注册管理中心,并得到管理人员、学术顾问和招聘人员的支持。除了普渡大学,罗斯-霍尔曼还将主持学生们的年度本科数学会议。杜克大学统计科学系和加州大学洛杉矶分校统计学系将与普渡大学合作举办一场DataFest学生竞赛。评估将由普渡大学发现学习研究中心提供,外部咨询委员会由来自美国统计协会、杜克大学、印第安纳大学、约翰·n·加德纳本科教育卓越研究所、统计与应用数学科学研究所、明尼苏达大学、威斯康星大学、南卡罗来纳大学以及沃尔特和伊丽莎·霍尔医学研究所的同事组成。在澳大利亚墨尔本。将学术和住宿生活经历结合起来是一种众所周知的最佳实践,但在大二阶段很少使用,就像在本项目中一样。此外,统计生活学习社区(STAT-LLC)将把这个模型与早期的、以团队为导向的大数据分析介绍相结合。我们推测,该项目将提高学生的记忆力,增强学生的信心,帮助学生度过大学的第二年,并为他们申请研究生院做好准备。这种全面的体验应该会导致更多的学生选择双专业:统计学和数据导向学科的应用专业。我们对这一综合培训经历的评估应该揭示出新的见解,即在大二阶段将学术课程、研究、专业发展和住宿生活结合起来,可以缓解大二学生在STEM学科领域的低迷。高级人员将在全国会议上提供教师培训讲习班,教同事如何以相关的方式将大二学生的经历结合起来。这些研讨会将是免费的,以最大限度地提高教师的参与度,否则他们将无法获得这些资源、网络、伙伴关系和专业发展机会。因此,更多的校园将能够在学习社区的背景下为大二学生提供研究经验。学生将交流他们的经验,每年春天在罗斯-霍尔曼本科数学会议和印第安纳MAA部分会议。普渡大学残疾资源中心将支持多元化计划;Emily Mauzy Vogel二年级领导力发展会议;地平线学生支持第一代学生;普渡大学的奇卡诺人和美洲原住民科学促进会(SACNAS)分会;印第安纳州路易斯·斯托克斯少数民族参与联盟(LSAMP)项目;以及科学多样性办公室。
英文摘要
This Statistics Living-Learning Community (STAT-LLC) project at Purdue University addresses two transitions in the training of undergraduate statistics students: (1.) The bridge from first-year general curriculum into sophomore year Statistics major courses, and (2.) The bridge into a student's first research experience in data analysis, especially with Big Data. Each year over a five year period, 20 sophomore trainees will take part in the STAT-LLC that involve a new project-based course in big data analysis, new mentored research collaborations and thrusts, a new seminar series, professional development initiatives, and living together in a new learning community. The project leaders will schedule 3 core courses (probability theory, statistical theory, and data analysis) and the seminar series in blocks, so students take these courses together as a cohort (and still have plenty of time for individual electives), live together in a dormitory, and participate in a research experience that lasts 12 months (start of sophomore year to start of junior year). The Senior Personnel are 12 faculty from the Department of Statistics at Purdue University. Additional faculty mentors will hail from Actuarial Science, Atmospheric/Earth Science, Biology, Biomedical Engineering, Chemical Engineering, Electrical and Computer Engineering, Health and Human Sciences, and the Regenstrief Center for Healthcare Engineering and be supported by administrators, academic advisors, and recruiters. Beyond Purdue, Rose-Hulman will host the students for their annual Undergraduate Mathematics Conference. The Department of Statistical Science at Duke University and the Department of Statistics at the University of California, Los Angeles will partner with Purdue on a DataFest student competition. Assessment will be provided by Purdue's Discovery Learning Research Center, and an External Advisory Board has been assembled with colleagues from the American Statistical Association, Duke University, Indiana University, the John N. Gardner Institute for Excellence in Undergraduate Education, the Statistical and Applied Mathematical Sciences Institute, University of Minnesota, University of Wisconsin, University of South Carolina, and the Walter and Eliza Hall Institute of Medical Research, in Melbourne, Australia.Pairing the academic and residential life experiences is a known best practice for the first-year experience but is rarely used at the sophomore level as it is in the present project. Furthermore, the Statistics Living-Learning Community (STAT-LLC) will pair this model with an early, team-oriented introduction to big data analysis. We conjecture that the project will promote retention, instill confidence in the students, help propel the students through the formative second year of college, and prepare them to apply for graduate school. This holistic experience should result in more students pursuing double majors: Statistics and an applied major in a data-oriented discipline. Our assessment of this comprehensive training experience should reveal new insights into the way that pairing academic coursework, research, professional development, and residential life at the sophomore level can alleviate the sophomore slump within STEM disciplines. The Senior Personnel will offer faculty training workshops at national meetings to teach colleagues how to unite the aspects of the sophomore experience in a relevant way for their campuses. The workshops will be free, to maximize participation by faculty who would not otherwise have access to such resources, networking, partnerships, and professional development opportunities. As a result, more campuses will be able to offer research experiences for sophomores in the context of a learning community. Students will communicate their experiences each spring at the Rose-Hulman Undergraduate Math Conference and the Indiana MAA Section meeting. Diversity initiatives will be supported by Purdue's Disability Resource Center; Emily Mauzy Vogel Sophomore Leadership Development Conference; HORIZONS Student Support for 1st generation students; Purdue's chapter of the Society for Advancement of Chicanos and Native Americans in Science (SACNAS); the Louis Stokes Alliance for Minority Participation (LSAMP) Indiana project; and the Science Diversity Office.
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